1754 papers
The study identifies the *Acinetobacter baumannii* acyltransferase AimS as a critical factor in overcoming host nutritional immunity by repressing pili production and biofilm formation via the regulator CsuR, thereby conserving cellular ATP to maintain energy homeostasis and ensure bacterial fitness during respiratory infection.
This paper proposes a closed-loop Deep Brain Stimulation system that utilizes a network-based model of 60 brain regions as Hopf oscillators, combining a predictive detector with a two-level control strategy (linear-quadratic regulation and adjoint optimal control) to successfully pre-empt seizure-like bifurcations in 100% of simulations.
This study reveals that aging actively reprograms macrophages through coordinated shifts in epigenetics, metabolism, and function—characterized by reduced cytokine responsiveness, altered lipid metabolism, and phenotype-specific changes—rather than simply causing functional decline, thereby offering a new framework for understanding inflammaging and age-related diseases.
This study utilizes multi-state modeling to demonstrate that high baseline expression of proliferation-related genes is significantly associated with early recurrence and subsequent mortality in high-risk estrogen receptor-positive breast cancer, whereas late recurrence is linked to distinct signaling pathways.
This scoping review and bibliometric analysis of 1,042 studies reveals that while single-cell foundation models are rapidly expanding in biotechnology, the field suffers from inconsistent reproducibility, poor benchmark rigor, and a lack of open resources, with simple baselines often proving competitive against complex architectures.
This study integrates transcriptomic analysis, machine learning, and clinical validation to identify C4A, GANAB, and TUBA4A as key UFMylation-related diagnostic biomarkers for periodontitis, elucidating their roles in immune and metabolic pathways and proposing potential therapeutic targets.
In a 6.5-year prospective cohort study of Kenyan secondary schoolgirls, menstrual cup use significantly reduced the risk of transitioning from an optimal *L. crispatus*-dominant vaginal microbiome to a non-optimal state, suggesting that providing cups before sexual debut is crucial for maintaining vaginal health.
This study utilizes a two-stage machine learning framework combining GMM clustering and XGBoost regression on NHANES 2017–2023 data to reveal that macronutrient-driven CRP responses vary significantly by metabolic phenotype and ethnicity, highlighting a "Fibre-Resilience Paradox" in Non-Hispanic Black populations and advocating for a stratified precision nutrition approach.
This study demonstrates that EEG signal variance is a robust biomarker for distinguishing ictal states and validates that a Random Forest classifier, trained on the University of Bonn dataset with strict subject-level data partitioning to prevent leakage, achieves high accuracy (96.2%) and sensitivity (98.3%) in seizure detection.
This paper proposes a mechanophysical framework identifying differential mechanical displacement as the fundamental variable enabling adaptive immune receptors to discriminate self from non-self by measuring abrupt deviations in physical force fields at amino acid resolution, thereby unifying humoral and cellular recognition through a progressive decision cascade that resolves long-standing paradoxes in immune specificity.